<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Aws on Technical Blog</title>
    <link>https://hugo-blog-923.pages.dev/tags/aws/</link>
    <description>Recent content in Aws on Technical Blog</description>
    <generator>Hugo</generator>
    <language>en</language>
    <lastBuildDate>Tue, 07 Apr 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://hugo-blog-923.pages.dev/tags/aws/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Accepting an internal-docs RAG package: a practical handoff checklist</title>
      <link>https://hugo-blog-923.pages.dev/posts/rag-handoff-delivery-checklist/</link>
      <pubDate>Tue, 07 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://hugo-blog-923.pages.dev/posts/rag-handoff-delivery-checklist/</guid>
      <description>&lt;p align=&#34;center&#34;&gt;
  &lt;img src=&#34;pexels_6340669.jpg&#34; alt=&#34;Team collaborating at a table with laptop and notes — reviewing a handed-off system.&#34; style=&#34;max-width: min(100%, 820px); height: auto;&#34; /&gt;
&lt;/p&gt;
&lt;p&gt;You received a &lt;strong&gt;RAG solution bundle&lt;/strong&gt;: Lambda sources, scripts, maybe S3 or vector exports, and a reading order for docs. Before you promise a go-live date, walk through a &lt;strong&gt;short acceptance checklist&lt;/strong&gt;. The tables below list typical questions to ask; rename regions, accounts, and services to match yours.&lt;/p&gt;
&lt;h3 id=&#34;acceptance-walkthrough-activity&#34;&gt;Acceptance walkthrough (activity)&lt;/h3&gt;
&lt;p align=&#34;center&#34;&gt;
  &lt;img src=&#34;04-rag-handoff-delivery-checklist.png&#34; alt=&#34;Simplified activity: read docs and limitations, validate environment and data assumptions, then operational readiness before pilot.&#34; style=&#34;max-width: min(100%, 920px); height: auto;&#34; /&gt;
&lt;/p&gt;</description>
    </item>
    <item>
      <title>From messy folders to vectors: an ingestion mindset for policy RAG</title>
      <link>https://hugo-blog-923.pages.dev/posts/rag-ingestion-embedding-pipeline/</link>
      <pubDate>Tue, 07 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://hugo-blog-923.pages.dev/posts/rag-ingestion-embedding-pipeline/</guid>
      <description>&lt;p align=&#34;center&#34;&gt;
  &lt;img src=&#34;pexels_7605981.jpg&#34; alt=&#34;Desk with project documents and charts — turning paper policy into structured retrieval.&#34; style=&#34;max-width: min(100%, 820px); height: auto;&#34; /&gt;
&lt;/p&gt;
&lt;p&gt;Retrieval quality in an &lt;strong&gt;internal policy RAG&lt;/strong&gt; is rarely fixed by swapping the chat model first. It is usually capped by &lt;strong&gt;how documents enter the system&lt;/strong&gt;: file types, chunk boundaries, stable identifiers, and a repeatable path from &lt;strong&gt;source object&lt;/strong&gt; to &lt;strong&gt;vector index&lt;/strong&gt;. In practice you often see &lt;strong&gt;batch jobs or Lambdas&lt;/strong&gt;, &lt;strong&gt;object storage&lt;/strong&gt; for artifacts, and a &lt;strong&gt;managed vector service&lt;/strong&gt; wired together the same way.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Internal-docs RAG: chat ingress, vector search, and an async judge loop</title>
      <link>https://hugo-blog-923.pages.dev/posts/internal-docs-rag-architecture-notes/</link>
      <pubDate>Sat, 04 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://hugo-blog-923.pages.dev/posts/internal-docs-rag-architecture-notes/</guid>
      <description>&lt;p align=&#34;center&#34;&gt;
  &lt;img src=&#34;pexels_10376254.jpg&#34; alt=&#34;Overhead view of a professional at a desk with laptop, tablet, and papers — internal work and digital tools.&#34; style=&#34;max-width: min(100%, 820px); height: auto;&#34; /&gt;
&lt;/p&gt;
&lt;p&gt;This note describes an &lt;strong&gt;internal RAG&lt;/strong&gt; pattern for &lt;strong&gt;policy and handbook-style documents&lt;/strong&gt;: employees ask questions in a familiar chat surface, the backend retrieves by &lt;strong&gt;semantic similarity&lt;/strong&gt;, and a &lt;strong&gt;separate evaluation path&lt;/strong&gt; scores answers for quality and traceability. The layout maps cleanly to typical &lt;strong&gt;AWS&lt;/strong&gt; building blocks (API Gateway, Lambdas, object storage, a vector index, DynamoDB, and a queue).&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
